
  <rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
      <title>Chaos and Order</title>
      <link>https://www.youngju.dev/blog</link>
      <description>천천히 올바르게. AI Researcher &amp; DevOps Engineer Youngju&#39;s tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering.</description>
      <language>ko</language>
      <managingEditor>fjvbn2003@gmail.com (Youngju Kim)</managingEditor>
      <webMaster>fjvbn2003@gmail.com (Youngju Kim)</webMaster>
      <lastBuildDate>Mon, 29 Jun 2026 00:00:00 GMT</lastBuildDate>
      <atom:link href="https://www.youngju.dev/tags/pointcloud/feed.xml" rel="self" type="application/rss+xml"/>
      
  <item>
    <guid>https://www.youngju.dev/blog/ai-papers/2026-06-29-robot-perception-3d-slam.en</guid>
    <title>The Robots Eye — 3D Perception and SLAM</title>
    <link>https://www.youngju.dev/blog/ai-papers/2026-06-29-robot-perception-3d-slam.en</link>
    <description>How robots see the world. We walk through RGB-D, LiDAR, and stereo sensors, the SLAM pipeline, point clouds and voxels, 6D pose estimation, deep-learning perception, and finally NeRF and 3D Gaussian Splatting, with code and diagrams for the full picture of robot perception.</description>
    <pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-papers</category><category>robotics</category><category>slam</category><category>3d-perception</category><category>pointcloud</category><category>computer-vision</category><category>depth</category>
  </item>

  <item>
    <guid>https://www.youngju.dev/blog/ai-papers/2026-06-29-robot-perception-3d-slam.ja</guid>
    <title>ロボットの目 — 3D認識とSLAM</title>
    <link>https://www.youngju.dev/blog/ai-papers/2026-06-29-robot-perception-3d-slam.ja</link>
    <description>ロボットが世界をどう見るのかを扱います。RGB-D・LiDAR・ステレオのセンサー、SLAMのパイプライン、点群とボクセル、6D姿勢推定、深層学習による認識、そしてNeRFと3Dガウシアンまで、ロボット認識の全体像をコードと図で見ていきます。</description>
    <pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-papers</category><category>robotics</category><category>slam</category><category>3d-perception</category><category>pointcloud</category><category>computer-vision</category><category>depth</category>
  </item>

  <item>
    <guid>https://www.youngju.dev/blog/ai-papers/2026-06-29-robot-perception-3d-slam</guid>
    <title>로봇의 눈 — 3D 인식과 SLAM</title>
    <link>https://www.youngju.dev/blog/ai-papers/2026-06-29-robot-perception-3d-slam</link>
    <description>로봇이 세상을 어떻게 보는지 다룹니다. RGB-D·LiDAR·스테레오 센서, SLAM 파이프라인, 포인트클라우드와 복셀, 6D 자세 추정, 딥러닝 인식, 그리고 NeRF와 3D 가우시안까지 로봇 인식의 전체 그림을 코드와 다이어그램으로 살펴봅니다.</description>
    <pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>ai-papers</category><category>robotics</category><category>slam</category><category>3d-perception</category><category>pointcloud</category><category>computer-vision</category><category>depth</category>
  </item>

    </channel>
  </rss>
